Leg training recovery method and device based on artificial intelligence

Abstract

The present invention relates to the field of leg training and recovery equipment, and in particular to an artificial intelligence-based leg training and recovery method and device, including an intelligent rehabilitation trainer, wherein a leg training intelligent control system is arranged inside the intelligent rehabilitation trainer, and the intelligent rehabilitation trainer includes a base, a bottom bin is fixedly connected to the top of the base, a main frame is fixedly connected to the top of the bottom bin, a top frame is fixedly connected to the top of the main frame, a fixed sleeve is fixedly connected to one side of the bottom of the top frame, and a control screen is installed on one side of the fixed sleeve. According to the present invention, before training, people can control the telescopic support column and the electric guide rail through the human-computer interaction module or the control screen, and can conveniently adjust the height of the top frame through the hydraulic rod inside the telescopic support column, and can conveniently adjust the specific position of the top frame through the ball screw inside the electric guide rail, so that people can adjust themselves to a suitable position for exerting force when using it.

Description

Technical Field

[0001] The present invention relates to the field of leg training recovery equipment, and in particular to a leg training recovery method and device based on artificial intelligence. Background Art

[0002] Most fracture patients are prone to delayed healing or non-healing of fractures due to the lack of appropriate stress stimulation of the affected limb after surgery. Experimental studies have also shown that stress stimulation can affect bone healing at the cellular molecular level. In the absence of any stress stimulation, the results showed that the expression of osteoblast activity decreased and osteoclasts increased significantly. After appropriate stress stimulation, the activity of osteoblasts can be significantly enhanced, thereby reducing bone loss. Therefore, in the process of fracture healing, appropriate stress stimulation is extremely important. With the advancement of current medical standards, more and more postoperative recovery and nursing techniques for injuries are constantly being strengthened. Among them are recovery training devices for leg injuries. This type of device exercises leg tissues to achieve the purpose of leg training and recovery. However, most of this type of equipment is composed of relatively common leg training equipment. In actual application, it can certainly have a certain positive effect on the recovery of the injured. However, due to the different actual injuries of each injured person, and the general lack of corresponding knowledge and skills of the injured, when the injured use this type of equipment for training, they are often unable to make actual arrangements according to the squeak situation, and can only perform rigid mechanical training, which has a weak stimulation on the recovery effect of the injury and is not conducive to actual use. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings existing in the background technology and to propose a leg training recovery method and device based on artificial intelligence.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is: an artificial intelligence-based leg training and recovery device, including an intelligent rehabilitation trainer, a leg training intelligent control system is arranged inside the intelligent rehabilitation trainer, the intelligent rehabilitation trainer includes a base, a bottom bin is fixedly connected to the top of the base, a main frame is fixedly connected to the top of the bottom bin, a top frame is fixedly connected to the top of the main frame, a fixed sleeve is fixedly connected to one side of the bottom of the top frame, a control screen is installed on one side of the fixed sleeve, armrests are installed at the bottom of both sides of the fixed sleeve, a telescopic rod is slidably connected to the inner side of the fixed sleeve, a leg fitness roller is installed at the bottom of the telescopic rod, an adjustment rotating rod is arranged at the bottom of the leg fitness roller, a foot pedal is arranged at the bottom of the adjustment rotating rod, and the foot pedal is arranged at the front of the seat.

[0005] Preferably, a swivel is rotatably connected to the lower portion of the outer periphery of the bottom bin, an electric guide rail is fixedly connected to one side of the outer periphery of the swivel, a shift plate is fixedly connected to the end of the electric guide rail away from the swivel, the bottom of the end of the electric guide rail close to the swivel is arranged on the top of the inner guide rail, the inner guide rail is installed on the outside of the top of the base, the shift plate is arranged on the top of the outer guide rail, a plurality of connecting rods are fixedly connected to the inner side of the outer guide rail, the other ends of the connecting rods are all fixedly connected to the outer periphery of the base, a telescopic support column is arranged on the top of the electric guide rail, and a top frame is fixedly connected to the top of the telescopic support column.

[0006] Preferably, the leg training intelligent control system includes a user usage module, a data monitoring module, a deep learning module, a timing reminder module, a training planning module and a human-computer interaction module. The user usage module is connected to the data monitoring module, the user usage module is connected to the training planning module, the training planning module is connected to the timing reminder module, the timing reminder module is connected to the human-computer interaction module, the human-computer interaction module is connected to the user usage module, the training planning module is connected to the deep learning module, and the deep learning module is connected to the data monitoring module.

[0007] Preferably, the user use module includes a touch operation display screen, an instruction sending module, an instruction receiving module, a Bluetooth connection unit, a data receiving unit, a data display unit, a data upload unit, a data storage unit and a data synchronization unit; the touch operation display screen is connected to the instruction sending module and the instruction receiving module; the instruction sending module and the instruction receiving module are both connected to the Bluetooth connection unit, the data receiving unit, the data display unit, the data upload unit, the data storage unit and the data synchronization unit; the Bluetooth connection unit is connected to the data receiving unit, the data receiving unit is connected to the data display unit, the data display unit is connected to the data upload unit, the data upload unit is connected to the data storage unit, and the data storage unit is connected to the data synchronization unit.

[0008] Preferably, the data monitoring module includes a force detection unit, a motion monitoring unit, a speed monitoring unit, a data backup unit, a data transmission unit and a data comparison unit, the force detection unit is connected to the motion monitoring unit, the motion monitoring unit is connected to the speed monitoring unit, the speed monitoring unit is connected to the data backup unit, the data backup unit is connected to the data transmission unit, and the data transmission unit is connected to the data comparison unit.

[0009] Preferably, the deep learning module includes an online learning unit, a host data query unit, a data retrieval and comparison unit, an intelligent evolution unit, a regional online unit and a planning detection unit, the online learning unit is connected to the host data query unit, the data retrieval and comparison unit, the intelligent evolution unit, the regional online unit and the planning detection unit, the host data query unit is connected to the data retrieval and comparison unit, the data retrieval and comparison unit is connected to the intelligent evolution unit, the intelligent evolution unit is connected to the regional online unit, and the regional online unit is connected to the planning detection unit.

[0010] Preferably, the timing reminder module includes a training timing unit, a timing determination unit, a timing management unit, a voice prompt unit, a light prompt unit and a module timing unit, the training timing unit is connected to the timing determination unit, the timing management unit, the voice prompt unit, the light prompt unit and the module timing unit, the timing determination unit is connected to the timing management unit, the timing management unit is connected to the voice prompt unit, the voice prompt unit is connected to the light prompt unit, and the light prompt unit is connected to the module timing unit.

[0011] Preferably, the training planning module includes a main processor, a training planning unit, a training recording unit, a training update unit, a progress recording unit, a progress saving unit, a progress retrieval unit, a monitoring receiving unit, an action planning unit, a time planning unit, a synchronization update unit, an update prompt unit and a progress update unit, the main processor is connected to the training planning unit, the training recording unit and the training update unit, the training recording unit is connected to the progress recording unit, the progress saving unit and the progress retrieval unit, the training planning unit is connected to the monitoring receiving unit, the action planning unit and the time planning unit, and the training update unit is connected to the synchronization update unit, the update prompt unit and the progress update unit.

[0012] Preferably, the human-computer interaction module includes a voice interaction unit, a voice recognition unit, a text display unit, an intelligent translation unit and an interaction recording unit, the voice interaction unit is connected to the voice recognition unit, the voice recognition unit is connected to the text display unit, the text display unit is connected to the intelligent translation unit, and the intelligent translation unit is connected to the interaction recording unit.

[0013] Preferably, the leg training recovery method based on artificial intelligence comprises the following steps:

[0014] S1. Before use, people can use the Bluetooth connection unit to connect the intelligent rehabilitation trainer to their own devices, and use the data upload unit in the user use module to upload their own conditions and various body data. After that, the training planning unit in the training planning module can compare the received user data with the data in the deep learning module, so as to formulate a corresponding rehabilitation training plan for the user. The action planning unit in the training planning unit can plan the user's training actions according to the received and retrieved information, and the time planning unit can plan the training time and frequency of various actions of the user;

[0015] S2. In actual use, people can first control the intelligent rehabilitation trainer through the human-computer interaction module, and people can "wake up" the intelligent rehabilitation trainer through the voice interaction unit, and then start the motor inside the bottom bin, and the motor can use the matching reduction assembly to drive the rotating ring to rotate, and the rotating ring can drive the electric guide rail and the top frame on the electric guide rail to rotate, and by rotating the top frame to the side, the top frame can be staggered with the training equipment, so that people can sit on the top frame;

[0016] S3. After people sit firmly on the top frame, they can control the motor inside the bottom bin to reverse again through the human-computer interaction module, so that the top frame can be reset, so that people can start training. Before training, people can control the telescopic support column and the electric guide rail through the human-computer interaction module or the control screen. The hydraulic rod inside the telescopic support column can facilitate people to adjust the height of the top frame, and the ball screw inside the electric guide rail can facilitate people to adjust the specific position of the top frame, so that people can adjust themselves to a suitable position for exerting force when using it;

[0017] S4. When in use, people can use the leg-fitting roller installed at the bottom of the telescopic rod to exercise the leg muscles accordingly. When exercising with the leg-fitting roller, people can first adjust the position and angle of the leg-fitting roller through the control screen so that the position of the leg-fitting roller can be suitable for the user's body shape and body position, and then control and adjust the adjustment rod through the control screen or the human-computer interaction module to adjust the adjustment rod to a suitable angle so that the foot pedal at the bottom of the adjustment rod will not affect the exercise of the leg-fitting roller;

[0018] S5. When the training process of the leg-building roller is completed, people can use the control screen to reset the leg-building roller and the adjustment rod, so that people can use the foot pedal to perform rehabilitation training, realize the flexibility training of the leg muscle groups and leg joints, which is beneficial to the user's leg rehabilitation. In the early stage of training, people can use the control screen to transform the foot pedal so that the foot pedal can rotate from the root so that the directions of the foot pedals on both sides can be consistent. At this time, people can put their feet against the foot pedal, and then start the electric guide rail to drive people to move forward and backward at a uniform speed, assisting people in leg bending training, so that people can perform corresponding training according to their own conditions;

[0019] S6. When people are training, the data monitoring module can monitor the training process of people in real time, the force detection unit can monitor the force exerted by people when doing autonomous flexion and extension training in real time, the action monitoring unit can monitor the standard of people's action when doing training actions, and the speed monitoring unit can monitor the time people spend in training in real time. The data monitoring module can facilitate people to understand their own training progress and training effect, and the monitoring receiving unit can receive the monitoring data transmitted by the data transmission unit, so that the training planning unit can re-plan the rehabilitation training plan according to the actual training progress of the user, so that the training plan can be more in line with the user's rehabilitation situation;

[0020] S7. During training, the timing reminder module can assist people in rehabilitation training. The timing determination unit and the timing management unit can provide timing reminders for people's training process according to the training plan formulated by the training planning unit. When a set of training movements is completed, the voice prompt unit and the light prompt unit can provide dual voice and light prompts to the user, so that people can be more accurate in training and can motivate users at the same time.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. The swivel can drive the electric guide rail and the top frame on the electric guide rail to rotate. By rotating the top frame to the side, the top frame can be staggered with the training equipment, so that people can sit on the top frame conveniently, making it safer and more convenient for people with limited mobility to use it. After people sit firmly on the top frame, they can control the motor inside the bottom bin to reverse again through the human-computer interaction module, so that the top frame can be reset, so that people can start training conveniently. Before training, people can control the telescopic support column and the electric guide rail through the human-computer interaction module or the control screen. The hydraulic rod inside the telescopic support column can facilitate people to adjust the height of the top frame. The ball screw inside the electric guide rail can facilitate people to adjust the specific position of the top frame, so that people can adjust themselves to a suitable force position when using it, which is conducive to the rehabilitation training process.

[0023] 2. When in use, people can use the leg-building roller installed at the bottom of the telescopic rod to perform corresponding exercises on the leg muscles. When using the leg-building roller for exercise, people can first adjust the position and angle of the leg-building roller through the control screen so that the position of the leg-building roller can be suitable for the user's body shape and posture, and then control and adjust the adjustment rod through the control screen or the human-computer interaction module to adjust the adjustment rod to a suitable angle so that the foot pedal at the bottom of the adjustment rod will not affect the exercise of the leg-building roller. When the exercise process of the leg-building roller is completed, people can use the control screen to reset the leg-building roller and the adjustment rod, so that people can use the foot pedal for rehabilitation training to achieve flexibility training of the leg muscle groups and leg joints, which is beneficial to the user's leg rehabilitation.

[0024] 3. In the early stage of training, people can use the control screen to change the shape of the pedals so that the pedals can rotate from the root and the directions of the pedals on both sides can be consistent. At this time, people can put their feet against the pedals, and then start the electric guide rail to drive people to move forward and backward at a uniform speed, assisting people in leg flexion training, so that people can perform corresponding training according to their own situation.

[0025] 4. Before use, people can use the Bluetooth connection unit to connect the intelligent rehabilitation trainer to their own equipment, and use the data upload unit in the user use module to upload their own conditions and various body data. After that, the training planning unit in the training planning module can compare the received user data with the data in the deep learning module, so as to formulate a corresponding rehabilitation training plan for the user. The action planning unit in the training planning unit can plan the user's training movements according to the received and retrieved information. The time planning unit can plan the training time and frequency of various actions of the user, so that people can be more scientific and safe when using the intelligent rehabilitation trainer for training.

[0026] 5. When people are training, the progress recording unit and the progress saving unit in the training recording unit can record and save people's training progress in real time. At the same time, people can use the progress retrieval unit to retrieve their own training progress records, which is convenient for people to understand their own situation. When people are training, the data monitoring module can monitor people's training process in real time, the force detection unit can monitor the force exerted by people when doing autonomous flexion and extension training in real time, the action monitoring unit can monitor the movement standard of people when doing training movements, and the speed monitoring unit can monitor the time people spend in training in real time. The data monitoring module can help people understand their own training progress and training effects.

[0027] 6. The monitoring receiving unit can receive the monitoring data transmitted by the data transmission unit, so that the training planning unit can re-plan the rehabilitation training plan according to the user's actual training progress, so that the training plan can be more in line with the user's rehabilitation situation and is beneficial to the user's rehabilitation process. During training, the timing reminder module can assist people in rehabilitation training. The timing determination unit and the timing management unit can give timed reminders to people's training process according to the training plan formulated by the training planning unit. When a group of training movements is completed, the voice prompt unit and the light prompt unit can give the user dual prompts by voice and light, so that people can be more accurate in training and can motivate users at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a front perspective schematic diagram of the leg training recovery method and device based on artificial intelligence of the present invention;

[0029] Figure 2 It is a side-view stereoscopic schematic diagram of the leg training recovery method and device based on artificial intelligence of the present invention;

[0030] Figure 3 It is a partial structural schematic diagram of the leg training recovery method and device based on artificial intelligence of the present invention;

[0031] Figure 4 It is a schematic diagram of the architecture of the leg training intelligent control system of the leg training recovery method and device based on artificial intelligence of the present invention;

[0032] Figure 5 A schematic diagram of a user module architecture of the artificial intelligence-based leg training recovery method and device of the present invention;

[0033] Figure 6 It is a schematic diagram of the data monitoring module architecture of the leg training recovery method and device based on artificial intelligence of the present invention;

[0034] Figure 7 A schematic diagram of the deep learning module architecture of the artificial intelligence-based leg training recovery method and device of the present invention;

[0035] Figure 8 It is a schematic diagram of the timing reminder module architecture of the leg training recovery method and device based on artificial intelligence of the present invention;

[0036] Fig. 9 A schematic diagram of the training planning module architecture of the artificial intelligence-based leg training recovery method and device of the present invention;

[0037] Fig.10 This is a schematic diagram of the human-computer interaction module architecture of the artificial intelligence-based leg training recovery method and device of the present invention.

[0038] 1. Intelligent rehabilitation trainer; 11. Top frame; 12. Main frame; 13. Bottom bin; 14. Swivel; 15. Connecting rod; 16. Outer guide rail; 17. Shift plate; 18. Seat; 19. Leg roller; 110. Telescopic rod; 111. Foot pedal; 112. Fixed sleeve; 113. Inner guide rail; 114. Base; 115. Adjustable rotating rod; 116. Armrest; 117. Control screen; 118. Electric guide rail; 119. Telescopic support column; 2. Leg training intelligent control system; 21. User module; 211. Touch operation Display screen; 212, command sending module; 213, command receiving module; 214, Bluetooth connection unit; 215, data receiving unit; 216, data display unit; 217, data upload unit; 218, data storage unit; 219, data synchronization unit; 22, data monitoring module; 221, force detection unit; 222, motion monitoring unit; 223, speed monitoring unit; 224, data backup unit; 225, data transmission unit; 226, data comparison unit; 23, deep learning module; 231 , online learning unit; 232, host data query unit; 233, data retrieval and comparison unit; 234, intelligent evolution unit; 235, regional online unit; 236, planning detection unit; 24, timing reminder module; 241, training timing unit; 242, timing determination unit; 243, timing management unit; 244, voice prompt unit; 245, light prompt unit; 246, module timing unit; 25, training planning module; 251, main processor; 252, training planning unit; 253, training record Unit; 254, training update unit; 255, progress recording unit; 256, progress saving unit; 257, progress retrieval unit; 258, monitoring receiving unit; 259, action planning unit; 2510, time planning unit; 2511, synchronization update unit; 2512, update prompt unit; 2513, progress update unit; 26, human-computer interaction module; 261, voice interaction unit; 262, voice recognition unit; 263, text display unit; 264, intelligent translation unit; 265, interaction recording unit. DETAILED DESCRIPTION

[0039] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0040] like Figure 1-Figure 10The leg training and recovery device based on artificial intelligence shown in the figure comprises an intelligent rehabilitation trainer 1, wherein the intelligent rehabilitation trainer 1 is provided with an intelligent leg training control system 2, wherein the intelligent rehabilitation trainer 1 comprises a base 114, wherein a bottom bin 13 is fixedly connected to the top of the base 114, wherein a main frame 12 is fixedly connected to the top of the bottom bin 13, wherein a top frame 11 is fixedly connected to the top of the main frame 12, wherein a fixed sleeve 112 is fixedly connected to one side of the bottom of the top frame 11, wherein a control screen 117 is installed on one side of the fixed sleeve 112, and wherein a control screen 117 is installed on the bottom of both sides of the fixed sleeve 112. The armrest 116 is slidably connected to the inner side of the fixed sleeve 112 with a telescopic rod 110, a leg-building roller 19 is installed at the bottom of the telescopic rod 110, an adjustment rod 115 is arranged at the bottom of the leg-building roller 19, a foot pedal 111 is arranged at the bottom of the adjustment rod 115, and the foot pedal 111 is arranged at the front of the seat 18. When in use, people can use the leg-building roller 19 installed at the bottom of the telescopic rod 110 to exercise the leg muscles accordingly. When exercising with the leg-building roller 19, people can first adjust the position and angle of the leg-building roller 19 through the control screen 117. The adjustment rod 115 is then controlled and adjusted through the control screen 117 or the human-computer interaction module 26 to adjust the adjustment rod 115 to a suitable angle so that the foot pedal 111 at the bottom of the adjustment rod 115 will not affect the exercise of the leg-building roller 19. When the exercise process of the leg-building roller 19 is completed, people can use the control screen 117 to reset the leg-building roller 19 and the adjustment rod 115, so that people can use the foot pedal 111 to perform rehabilitation training, and achieve flexibility training for the leg muscle groups and leg joints, which is beneficial to the user's leg rehabilitation. In the early stage of training, people can use the control screen 117 to transform the foot pedal 111 so that the foot pedal 111 can rotate from the root so that the directions of the foot pedals 111 on both sides can be consistent. At this time, people can put their feet against the foot pedal 111, and then start the electric guide rail 118 to drive people to move forward and backward at a uniform speed to assist people in leg bending training, so that people can perform corresponding training according to their own conditions.

[0041] The lower part of the outer periphery of the bottom bin 13 is rotatably connected to a swivel 14, and one side of the outer periphery of the swivel 14 is fixedly connected to an electric guide rail 118, and the end of the electric guide rail 118 away from the swivel 14 is fixedly connected to a shift plate 17, and the bottom of the end of the electric guide rail 118 close to the swivel 14 is arranged on the top of the inner guide rail 113, and the inner guide rail 113 is installed on the outside of the top of the base 114, and the shift plate 17 is arranged on the top of the outer guide rail 16. A plurality of connecting rods 15 are fixedly connected to the inner side of the outer guide rail 16, and the other ends of the connecting rods 15 are fixedly connected to the outer periphery of the base 114. A telescopic support column 119 is fixedly connected to the top of the top frame 11. Before training, people can control the telescopic support column 119 and the electric guide rail 118 through the human-computer interaction module 26 or the control screen 117. The hydraulic rod inside the telescopic support column 119 can facilitate people to adjust the height of the top frame 11, and the ball screw inside the electric guide rail 118 can facilitate people to adjust the specific position of the top frame 11, so that people can adjust themselves to a suitable force position when using it, which is beneficial to the rehabilitation training process.

[0042] The leg training intelligent control system 2 includes a user usage module 21, a data monitoring module 22, a deep learning module 23, a timing reminder module 24, a training planning module 25 and a human-computer interaction module 26. The user usage module 21 is connected to the data monitoring module 22, the user usage module 21 is connected to the training planning module 25, the training planning module 25 is connected to the timing reminder module 24, the timing reminder module 24 is connected to the human-computer interaction module 26, the human-computer interaction module 26 is connected to the user usage module 21, the training planning module 25 is connected to the deep learning module 23, and the deep learning module 23 is connected to the data monitoring module 22.

[0043] The user use module 21 includes a touch operation display screen 211, an instruction sending module 212, an instruction receiving module 213, a Bluetooth connection unit 214, a data receiving unit 215, a data display unit 216, a data upload unit 217, a data storage unit 218 and a data synchronization unit 219. The touch operation display screen 211 is connected to the instruction sending module 212 and the instruction receiving module 213, and the instruction sending module 212 and the instruction receiving module 213 are both connected to the Bluetooth connection unit 214, the data receiving unit 215, the data display unit 216, the data upload unit 217, the data storage unit 218 and the data synchronization unit 219. 218 and a data synchronization unit 219, the Bluetooth connection unit 214 is connected to a data receiving unit 215, the data receiving unit 215 is connected to a data display unit 216, the data display unit 216 is connected to a data upload unit 217, the data upload unit 217 is connected to a data storage unit 218, and the data storage unit 218 is connected to a data synchronization unit 219. Before use, people can use the Bluetooth connection unit 214 to connect the intelligent rehabilitation trainer 1 to their own equipment, and use the data upload unit 217 in the user use module 21 to upload their own conditions and various body data.

[0044] The data monitoring module 22 includes a force detection unit 221, a motion monitoring unit 222, a speed monitoring unit 223, a data backup unit 224, a data transmission unit 225 and a data comparison unit 226. The force detection unit 221 is connected to the motion monitoring unit 222, the motion monitoring unit 222 is connected to the speed monitoring unit 223, the speed monitoring unit 223 is connected to the data backup unit 224, the data backup unit 224 is connected to the data transmission unit 225, and the data transmission unit 225 is connected to the data comparison unit 226. When people are training, the data monitoring module 22 can monitor the training process of people in real time, the force detection unit 221 can monitor the force exerted by people when doing autonomous flexion and extension training in real time, the motion monitoring unit 222 can monitor the movement standard of people when doing training movements, the speed monitoring unit 223 can monitor the time used by people in training in real time, and the data monitoring module 22 can facilitate people to understand their own training progress and training effect.

[0045] The deep learning module 23 includes an online learning unit 231, a host data query unit 232, a data retrieval and comparison unit 233, an intelligent evolution unit 234, a regional online unit 235 and a planning detection unit 236. The online learning unit 231 is connected to the host data query unit 232, the data retrieval and comparison unit 233, the intelligent evolution unit 234, the regional online unit 235 and the planning detection unit 236. The host data query unit 232 is connected to the data retrieval and comparison unit 233, the data retrieval and comparison unit 233 is connected to the intelligent evolution unit 234, the intelligent evolution unit 234 is connected to the regional online unit 235, and the regional online unit 235 is connected to the planning detection unit 236. Then, the training planning unit 252 in the training planning module 25 can compare the received user data with the data in the deep learning module 23, so as to formulate a corresponding rehabilitation training plan for the user. The action planning unit 259 in the training planning unit 252 can plan the user's training actions according to the received and retrieved information.

[0046] The timing reminder module 24 includes a training timing unit 241, a timing determination unit 242, a timing management unit 243, a voice prompt unit 244, a light prompt unit 245 and a module timing unit 246. The training timing unit 241 is connected to the timing determination unit 242, the timing management unit 243, the voice prompt unit 244, the light prompt unit 245 and the module timing unit 246. The timing determination unit 242 is connected to the timing management unit 243, the timing management unit 243 is connected to the voice prompt unit 244, the voice prompt unit 244 is connected to the light prompt unit Unit 245, the light prompt unit 245 is connected to the module timing unit 246. During training, the timing reminder module 24 can assist people in rehabilitation training. The timing determination unit 242 and the timing management unit 243 can provide timing prompts for people's training process according to the training plan formulated by the training planning unit 252. When a group of training movements is completed, the voice prompt unit 244 and the light prompt unit 245 can provide dual voice and light prompts to the user, so that people can be more accurate in training and can motivate users at the same time.

[0047] The training planning module 25 includes a main processor 251, a training planning unit 252, a training recording unit 253, a training updating unit 254, a progress recording unit 255, a progress saving unit 256, a progress retrieval unit 257, a monitoring receiving unit 258, an action planning unit 259, a time planning unit 2510, a synchronization updating unit 2511, an update prompting unit 2512 and a progress updating unit 2513. The main processor 251 is connected to the training planning unit 252, the training recording unit 253 and the training updating unit 254. The training recording unit 253 is connected to the progress recording unit 255, the progress saving unit 256 and the progress retrieval unit 257. The training planning unit 252 is connected to the monitoring receiving unit 258, the action planning unit 259 and the time planning unit 2510. The training updating unit 254 is connected to the synchronization updating unit 2511, the update prompting unit 2512 and the progress updating unit 2513. Unit 2512 and progress updating unit 2513 can plan the training time and frequency of various actions of the user through the time planning unit 2510, so that people can be more scientific and safe when using the intelligent rehabilitation trainer 1 for training. When people are training, the progress recording unit 255 and the progress saving unit 256 in the training recording unit 253 can record and save people's training progress in real time. At the same time, people can use the progress retrieval unit 257 to retrieve their own training progress records, which is convenient for people to understand their own situation. The monitoring receiving unit 258 can receive the monitoring data transmitted by the data transmission unit 225, so that the training planning unit 252 can re-plan the rehabilitation training plan according to the user's actual training progress, so that the training plan can be more in line with the user's rehabilitation situation and is beneficial to the user's rehabilitation process.

[0048] The human-computer interaction module 26 includes a voice interaction unit 261, a voice recognition unit 262, a text display unit 263, an intelligent translation unit 264 and an interaction recording unit 265. The voice interaction unit 261 is connected to the voice recognition unit 262, the voice recognition unit 262 is connected to the text display unit 263, the text display unit 263 is connected to the intelligent translation unit 264, and the intelligent translation unit 264 is connected to the interaction recording unit 265. In actual use, people can first control the intelligent rehabilitation trainer 1 through the human-computer interaction module 26, and can conveniently "wake up" the intelligent rehabilitation trainer 1 through the voice interaction unit 261. Then, the motor inside the bottom bin 13 is started first, and the motor can use the matching reduction assembly to drive the swivel 14 to rotate, and the swivel 14 can drive the electric guide rail 118 and the top frame 11 on the electric guide rail 118 to rotate, and the top frame 11 is rotated sideways so that the top frame 11 can be staggered with the training equipment, so that people can sit on the top frame 11 conveniently, making it safer and more convenient for people with limited mobility to use it. After people sit firmly on the top frame 11, they can control the motor inside the bottom bin 13 to reverse again through the human-computer interaction module 26, so that the top frame 11 is reset, so that people can start training conveniently.

[0049] The artificial intelligence-based leg training recovery method includes the following steps:

[0050] S1. Before use, people can use the Bluetooth connection unit 214 to connect the intelligent rehabilitation trainer 1 to their own devices, and use the data upload unit 217 in the user use module 21 to upload their own conditions and various body data. After that, the training planning unit 252 in the training planning module 25 can compare the received user data with the data in the deep learning module 23, so as to formulate a corresponding rehabilitation training plan for the user. The action planning unit 259 in the training planning unit 252 can plan the user's training actions according to the received and retrieved information, and the time planning unit 2510 can plan the training time and number of various actions of the user;

[0051] S2. In actual use, people can first control the intelligent rehabilitation trainer 1 through the human-computer interaction module 26, and people can "wake up" the intelligent rehabilitation trainer 1 through the voice interaction unit 261, and then start the motor inside the bottom bin 13, and the motor can use the matching reduction assembly to drive the swivel 14 to rotate, and the swivel 14 can drive the electric guide rail 118 and the top frame 11 on the electric guide rail 118 to rotate, and by rotating the top frame 11 to the side, the top frame 11 can be staggered with the training device, so that people can sit on the top frame 11;

[0052] S3. After people sit firmly on the top frame 11, they can control the motor inside the bottom bin 13 to reverse again through the human-computer interaction module 26, so that the top frame 11 is reset, so that people can start training. Before training, people can control the telescopic support column 119 and the electric guide rail 118 through the human-computer interaction module 26 or the control screen 117. The hydraulic rod inside the telescopic support column 119 can facilitate people to adjust the height of the top frame 11, and the ball screw inside the electric guide rail 118 can facilitate people to adjust the specific position of the top frame 11, so that people can adjust themselves to a suitable position for exerting force when using it;

[0053] S4. When in use, people can use the leg-building roller 19 installed at the bottom of the telescopic rod 110 to exercise the leg muscles accordingly. When exercising with the leg-building roller 19, people can first adjust the position and angle of the leg-building roller 19 through the control screen 117, so that the position of the leg-building roller 19 can be suitable for the user's body shape and body position, and then control and adjust the adjustment rod 115 through the control screen 117 or the human-computer interaction module 26 to adjust the adjustment rod 115 to a suitable angle, so that the foot pedal 111 at the bottom of the adjustment rod 115 will not affect the exercise of the leg-building roller 19;

[0054] S5. When the training process of the leg-building roller 19 is completed, people can use the control screen 117 to reset the leg-building roller 19 and the adjustment rod 115, so that people can use the foot pedal 111 to perform rehabilitation training, realize flexibility training of leg muscle groups and leg joints, and facilitate the user's leg rehabilitation. In the early stage of training, people can use the control screen 117 to transform the foot pedal 111, so that the foot pedal 111 can rotate from the root, so that the directions of the foot pedals 111 on both sides can be consistent. At this time, people can put their feet against the foot pedal 111, and then start the electric guide rail 118 to drive people to move forward and backward at a uniform speed, assisting people in leg bending training, so that people can perform corresponding training according to their own conditions;

[0055] S6. When people are training, the data monitoring module 22 can monitor the training process of people in real time, the force detection unit 221 can monitor the force exerted by people when doing autonomous flexion and extension training in real time, the action monitoring unit 222 can monitor the action standard of people when doing training actions, and the speed monitoring unit 223 can monitor the time used by people in training in real time. The data monitoring module 22 can facilitate people to understand their own training progress and training effect, and the monitoring receiving unit 258 can receive the monitoring data transmitted by the data transmission unit 225, so that the training planning unit 252 can re-plan the rehabilitation training plan according to the actual training progress of the user, so that the training plan can be more in line with the rehabilitation situation of the user;

[0056] S7. During training, the timing reminder module 24 can assist people in rehabilitation training. The timing determination unit 242 and the timing management unit 243 can provide timing reminders for people's training process according to the training plan formulated by the training planning unit 252. When a group of training movements is completed, the voice prompt unit 244 and the light prompt unit 245 can provide dual voice and light prompts to the user, so that people can be more accurate in training and can motivate users at the same time.

[0057] Working principle:

[0058] In actual use, people can first control the intelligent rehabilitation trainer 1 through the human-computer interaction module 26, and can conveniently "wake up" the intelligent rehabilitation trainer 1 through the voice interaction unit 261, and then start the motor inside the bottom bin 13, and the motor can use the matching reduction assembly to drive the swivel 14 to rotate, and the swivel 14 can drive the electric guide rail 118 and the top frame 11 on the electric guide rail 118 to rotate, and by rotating the top frame 11 to the side, the top frame 11 can be staggered with the training equipment, so that people can sit on the top frame 11, making it safer and more convenient for people with limited mobility to use it. After people sit firmly on the top frame 11, they can control the inside of the bottom bin 13 again through the human-computer interaction module 26 The motor is reversed to reset the top frame 11, so that people can start training. Before training, people can control the telescopic support column 119 and the electric guide rail 118 through the human-computer interaction module 26 or the control screen 117. The hydraulic rod inside the telescopic support column 119 can facilitate people to adjust the height of the top frame 11, and the ball screw inside the electric guide rail 118 can facilitate people to adjust the specific position of the top frame 11, so that people can adjust themselves to a suitable position for exerting force when using it, which is beneficial to the rehabilitation training process. When using it, people can use the leg-building roller 19 installed at the bottom of the telescopic rod 110 to exercise the leg muscles accordingly. When exercising with the leg-building roller 19, people can first use the control screen 117 adjusts the position and angle of the leg-building roller 19 so that the position of the leg-building roller 19 can be suitable for the body shape and body position of the user. Then, the adjusting rod 115 is controlled and adjusted through the control screen 117 or the human-computer interaction module 26 to adjust the adjusting rod 115 to a suitable angle so that the foot pedal 111 at the bottom of the adjusting rod 115 will not affect the exercise of the leg-building roller 19. When the exercise process of the leg-building roller 19 is completed, people can use the control screen 117 to reset the leg-building roller 19 and the adjusting rod 115, so that people can use the foot pedal 111 to perform rehabilitation training, realize the flexibility training of the leg muscle groups and leg joints, and facilitate the leg rehabilitation of the user. In the early stage of training, people can use the control screen 117 to reset the foot pedal 111. The pedal 111 undergoes a shape change, so that the pedal 111 can rotate from the root, so that the directions of the pedals 111 on both sides can be consistent. At this time, people can put their feet against the pedal 111, and then start the electric guide rail 118 to drive people to move forward and backward at a uniform speed, assisting people in leg curling training, so that people can perform corresponding training according to their own conditions. Before use, people can use the Bluetooth connection unit 214 to connect the intelligent rehabilitation trainer 1 to their own equipment, and use the data upload unit 217 in the user use module 21 to upload their own conditions and various body data. After that, the training planning unit 252 in the training planning module 25 can compare the received user data with the data in the deep learning module 23.Thus, a corresponding rehabilitation training plan is formulated for the user. The action planning unit 259 in the training planning unit 252 can plan the user's training actions according to the received and retrieved information. The time planning unit 2510 can plan the training time and frequency of each action of the user, so that people can be more scientific and safe when using the intelligent rehabilitation trainer 1 for training. When people are training, the progress recording unit 255 and the progress saving unit 256 in the training recording unit 253 can record and save people's training progress in real time. At the same time, people can use the progress retrieval unit 257 to retrieve their own training progress records, which is convenient for people to understand their own situation. When people are training, the data monitoring module 22 can monitor people's training process in real time, the force detection unit 221 can monitor the force exerted by people when doing autonomous flexion and extension training in real time, and the action monitoring unit 222 can monitor people's movements when doing training actions. The speed monitoring unit 223 can monitor the time people spend in training in real time. The data monitoring module 22 can help people understand their own training progress and training effect. The monitoring receiving unit 258 can receive the monitoring data transmitted by the data transmission unit 225, so that the training planning unit 252 can re-plan the rehabilitation training plan according to the user's actual training progress, so that the training plan can be more in line with the user's rehabilitation situation and is conducive to the user's rehabilitation process. During training, the timing reminder module 24 can assist people in rehabilitation training. The timing determination unit 242 and the timing management unit 243 can give timed reminders to people's training process according to the training plan formulated by the training planning unit 252. When a set of training movements is completed, the voice prompt unit 244 and the light prompt unit 245 can give dual voice and light prompts to the user, so that people can be more accurate in training and can motivate users at the same time.

[0059] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A leg training and recovery device based on artificial intelligence, comprising an intelligent rehabilitation trainer (1), characterized in that: The intelligent rehabilitation trainer (1) is provided with a leg training intelligent control system (2) therein. The intelligent rehabilitation trainer (1) comprises a base (114), the top of the base (114) being fixedly connected to a bottom bin (13), the top of the bottom bin (13) being fixedly connected to a main frame (12), the top of the main frame (12) being fixedly connected to a top frame (11), one side of the bottom of the top frame (11) being fixedly connected to a fixed sleeve (112), one side of the fixed sleeve (112) being provided with a control screen (117), both sides of the bottom of the fixed sleeve (112) being provided with armrests (116), the inside of the fixed sleeve (112) being slidably connected to a telescopic rod (110), the bottom of the telescopic rod (110) being provided with a leg fitness roller (19), the bottom of the leg fitness roller (19) being provided with an adjustment rotating rod (115), the bottom of the adjustment rotating rod (115) being provided with a foot pedal (111), and the foot pedal (111) being provided at the front of the seat (18); The lower part of the outer periphery of the bottom bin (13) is rotatably connected to a swivel ring (14), one side of the outer periphery of the swivel ring (14) is fixedly connected to an electric guide rail (118), one end of the electric guide rail (118) away from the swivel ring (14) is fixedly connected to a shift plate (17), the bottom of one end of the electric guide rail (118) close to the swivel ring (14) is arranged on the top of the inner guide rail (113), the inner guide rail (113) is installed on the outside of the top of the base (114), the shift plate (17) is arranged on the top of the outer guide rail (16), the inner side of the outer guide rail (16) is fixedly connected to a plurality of connecting rods (15), the other ends of the connecting rods (15) are all fixedly connected to the outer periphery of the base (114), a telescopic support column (119) is arranged on the top of the electric guide rail (118), and the top of the telescopic support column (119) is fixedly connected to the top frame (11).

2. The artificial intelligence-based leg training and recovery device according to claim 1, characterized in that: The leg training intelligent control system (2) comprises a user usage module (21), a data monitoring module (22), a deep learning module (23), a timing reminder module (24), a training planning module (25) and a human-computer interaction module (26); the user usage module (21) is connected to the data monitoring module (22); the user usage module (21) is connected to the training planning module (25); the training planning module (25) is connected to the timing reminder module (24); the timing reminder module (24) is connected to the human-computer interaction module (26); the human-computer interaction module (26) is connected to the user usage module (21); the training planning module (25) is connected to the deep learning module (23); and the deep learning module (23) is connected to the data monitoring module (22).

3. The artificial intelligence-based leg training and recovery device according to claim 2, characterized in that: The user use module (21) comprises a touch operation display screen (211), an instruction sending module (212), an instruction receiving module (213), a Bluetooth connection unit (214), a data receiving unit (215), a data unit (216), a data uploading unit (217), a data storage unit (218) and a data synchronization unit (219); the touch operation display screen (211) is connected to the instruction sending module (212) and the instruction receiving module (213); the instruction sending module (212) and the instruction receiving module (213) are both connected to the Bluetooth connection unit (214). 4), a data receiving unit (215), a data display unit (216), a data uploading unit (217), a data storage unit (218) and a data synchronization unit (219), wherein the Bluetooth connection unit (214) is connected to the data receiving unit (215), the data receiving unit (215) is connected to the data display unit (216), the data display unit (216) is connected to the data uploading unit (217), the data uploading unit (217) is connected to the data storage unit (218), and the data storage unit (218) is connected to the data synchronization unit (219).

4. The artificial intelligence-based leg training and recovery device according to claim 2, characterized in that: The data monitoring module (22) comprises a force detection unit (221), a motion monitoring unit (222), a speed monitoring unit (223), a data backup unit (224), a data transmission unit (225) and a data comparison unit (226); the force detection unit (221) is connected to the motion monitoring unit (222); the motion monitoring unit (222) is connected to the speed monitoring unit (223); the speed monitoring unit (223) is connected to the data backup unit (224); the data backup unit (224) is connected to the data transmission unit (225); and the data transmission unit (225) is connected to the data comparison unit (226).

5. The artificial intelligence-based leg training and recovery device according to claim 2, characterized in that: The deep learning module (23) comprises an online learning unit (231), a host data query unit (232), a data retrieval and comparison unit (233), an intelligent evolution unit (234), a regional online unit (235) and a planning detection unit (236); the online learning unit (231) is connected to the host data query unit (232), the data retrieval and comparison unit (233), the intelligent evolution unit (234), the regional online unit (235) and the planning detection unit (236); the host data query unit (232) is connected to the data retrieval and comparison unit (233); the data retrieval and comparison unit (233) is connected to the intelligent evolution unit (234); the intelligent evolution unit (234) is connected to the regional online unit (235); and the regional online unit (235) is connected to the planning detection unit (236).

6. The artificial intelligence-based leg training and recovery device according to claim 2, characterized in that: The timing reminder module (24) comprises a training timing unit (241), a timing determination unit (242), a timing management unit (243), a voice prompting unit (244), a light prompting unit (245) and a module timing unit (246); the training timing unit (241) is connected to the timing determination unit (242), the timing management unit (243), the voice prompting unit (244), the light prompting unit (245) and the module timing unit (246); the timing determination unit (242) is connected to the timing management unit (243); the timing management unit (243) is connected to the voice prompting unit (244); the voice prompting unit (244) is connected to the light prompting unit (245); and the light prompting unit (245) is connected to the module timing unit (246).

7. The artificial intelligence-based leg training and recovery device according to claim 2, characterized in that: The training planning module (25) comprises a main processor (251), a training planning unit (252), a training recording unit (253), a training updating unit (254), a progress recording unit (255), a progress saving unit (256), a progress retrieving unit (257), a monitoring receiving unit (258), an action planning unit (259), a time planning unit (2510), a synchronous updating unit (2511), an update prompting unit (2512) and a progress updating unit (2513). The main processor (251) is connected to the training planning unit (252), a training recording unit (253), a training updating unit (254), a progress recording unit (255), a progress saving unit (256), a progress retrieving unit (257), a monitoring receiving unit (258), an action planning unit (259), a time planning unit (2510), a synchronous updating unit (2511), an update prompting unit (2512) and a progress updating unit (2513). The training plan unit (252) is connected to a monitoring receiving unit (258), an action planning unit (259) and a time planning unit (2510); and the training update unit (254) is connected to a synchronization update unit (2511), an update prompt unit (2512) and a progress update unit (2513).

8. The artificial intelligence-based leg training and recovery device according to claim 2, characterized in that: The human-computer interaction module (26) comprises a voice interaction unit (261), a voice recognition unit (262), a text display unit (263), an intelligent translation unit (264) and an interaction recording unit (265); the voice interaction unit (261) is connected to the voice recognition unit (262); the voice recognition unit (262) is connected to the text display unit (263); the text display unit (263) is connected to the intelligent translation unit (264); and the intelligent translation unit (264) is connected to the interaction recording unit (265).

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